In this article we will see how we can get the stock quote of given company using nsetools. Nsetools is a library for collecting real time data from National Stock Exchange of India. A stock quote is the price of a stock as quoted on an exchange. A basic quote for a specific stock provides information, such as its bid and ask price, last traded price, and volume traded.
Steps to get the Stock Quote
1. Import the Nse from nsetools
2. Create a Nse object
3. From the Nse object get the stock quote with the help of get_quote method with the NSE Stock code of the company
4. Print the stock quote
Below is the implementation
from nsetools import Nse
nse = Nse()
code = "wipro"
quote = nse.get_quote(code)
print (quote)
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Output :
{'pricebandupper': 309.15, 'symbol': 'WIPRO', 'applicableMargin': 19.23, 'bcEndDate': '13-JUL-20', 'totalSellQuantity': None, 'adhocMargin': None, 'companyName': 'Wipro Limited', 'marketType': 'N', 'exDate': '08-JUL-20', 'bcStartDate': '10-JUL-20', 'css_status_desc': 'Listed', 'dayHigh': 284.45, 'basePrice': 281.05, 'securityVar': 15.73, 'pricebandlower': 252.95, 'sellQuantity5': None, 'sellQuantity4': None, 'sellQuantity3': None, 'cm_adj_high_dt': '31-JUL-20', 'sellQuantity2': None, 'dayLow': 277.4, 'sellQuantity1': None, 'quantityTraded': 7345555.0, 'pChange': '-1.05', 'totalTradedValue': 20596.94, 'deliveryToTradedQuantity': 21.36, 'totalBuyQuantity': 610.0, 'averagePrice': 280.4, 'indexVar': None, 'cm_ffm': 41333.68, 'purpose': 'ANNUAL GENERAL MEETING', 'buyPrice2': None, 'secDate': '05-Aug-2020 00:00:00', 'buyPrice1': 278.2, 'high52': 290.8, 'previousClose': 281.05, 'ndEndDate': None, 'low52': 159.4, 'buyPrice4': None, 'buyPrice3': None, 'recordDate': None, 'deliveryQuantity': 1569237.0, 'buyPrice5': None, 'priceBand': 'No Band', 'extremeLossMargin': 3.5, 'cm_adj_low_dt': '19-MAR-20', 'varMargin': 15.73, 'sellPrice1': None, 'sellPrice2': None, 'totalTradedVolume': 7345555.0, 'sellPrice3': None, 'sellPrice4': None, 'sellPrice5': None, 'change': '-2.95', 'surv_indicator': None, 'ndStartDate': None, 'buyQuantity4': None, 'isExDateFlag': False, 'buyQuantity3': None, 'buyQuantity2': None, 'buyQuantity1': 610.0, 'series': 'EQ', 'faceValue': 2.0, 'buyQuantity5': None, 'closePrice': 278.2, 'open': 281.25, 'isinCode': 'INE075A01022', 'lastPrice': 278.1}
Another example
from nsetools import Nse
nse = Nse()
code = "hdfcbank"
quote = nse.get_quote(code)
print (quote)
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Output :
{'pricebandupper': 1145.8, 'symbol': 'HDFCBANK', 'applicableMargin': 18.2, 'bcEndDate': None, 'totalSellQuantity': None, 'adhocMargin': None, 'companyName': 'HDFC Bank Limited', 'marketType': 'N', 'exDate': '19-SEP-19', 'bcStartDate': None, 'css_status_desc': 'Listed', 'dayHigh': 1055.8, 'basePrice': 1041.65, 'securityVar': 14.7, 'pricebandlower': 937.5, 'sellQuantity5': None, 'sellQuantity4': None, 'sellQuantity3': None, 'cm_adj_high_dt': '19-DEC-19', 'sellQuantity2': None, 'dayLow': 1020.0, 'sellQuantity1': None, 'quantityTraded': 16610696.0, 'pChange': '-1.03', 'totalTradedValue': 172025.35, 'deliveryToTradedQuantity': 26.31, 'totalBuyQuantity': 7009.0, 'averagePrice': 1035.63, 'indexVar': None, 'cm_ffm': 445360.08, 'purpose': 'FACE VALUE SPLIT (SUB-DIVISION) - FROM RS 2 PER SHARE TO RS 1 PER SHARE', 'buyPrice2': None, 'secDate': '05-Aug-2020 00:00:00', 'buyPrice1': 1027.55, 'high52': 1305.5, 'previousClose': 1041.65, 'ndEndDate': None, 'low52': 738.75, 'buyPrice4': None, 'buyPrice3': None, 'recordDate': '20-SEP-19', 'deliveryQuantity': 4369897.0, 'buyPrice5': None, 'priceBand': 'No Band', 'extremeLossMargin': 3.5, 'cm_adj_low_dt': '24-MAR-20', 'varMargin': 14.7, 'sellPrice1': None, 'sellPrice2': None, 'totalTradedVolume': 16610696.0, 'sellPrice3': None, 'sellPrice4': None, 'sellPrice5': None, 'change': '-10.70', 'surv_indicator': None, 'ndStartDate': None, 'buyQuantity4': None, 'isExDateFlag': False, 'buyQuantity3': None, 'buyQuantity2': None, 'buyQuantity1': 7009.0, 'series': 'EQ', 'faceValue': 1.0, 'buyQuantity5': None, 'closePrice': 1027.55, 'open': 1047.95, 'isinCode': 'INE040A01034', 'lastPrice': 1030.95}
Last Updated :
18 Aug, 2020
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